Beyond Deep Fakes

Researchers at Carnegie Mellon University have developed a new method of automatically transforming the content of one video into the style of another.

Credit: Carnegie Mellon University

Carnegie Mellon University researchers have developed a new method of automatically transforming the content of one video into the style of another.

Since the data-driven method (called Recycle-GAN) does not require human intervention, it can quickly transform large amounts of video, making it useful for movie production.

In addition, the new system can be used to colorize black-and-white films or create content for virtual reality experiences, as well as potentially being used to create "deep fakes," videos in which a person's image is inserted without permission.

The technique relies on generative adversarial networks that help computers understand how to apply the style of one image to another.